The world’s largest companies are grappling with increasingly widespread and sophisticated malware attacks, but an interesting new malware detection technique could help companies thwart these threats without needing any software.
A team of researchers at France’s Research Institute of Computer Science and Random Systems created an anti-malware system centered around a Raspberry Pi that scans devices for electromagnetic waves. As reported by Tom’s Hardware , the security device uses an oscilloscope (Picoscope 6407) and H-Field probe connected to a Raspberry Pi 2B to pick up abnormalities in specific electromagnetic waves emitted by computers that are under attack, a technique the researchers say is used to “obtain precise knowledge about malware type and identity.”
The detection system then relies on Convolution Neural Networks (CNN) to determine whether the data gathered indicates the presence of a threat. Using this technique, researchers claims they could record 100,000 measurement traces from IoT devices infected by genuine malware samples, and predicted three generic and one benign malware class with an accuracy as high as 99.82%.